{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib 绘图基础"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0.        ,   0.1010101 ,   0.2020202 ,   0.3030303 ,\n",
       "         0.4040404 ,   0.50505051,   0.60606061,   0.70707071,\n",
       "         0.80808081,   0.90909091,   1.01010101,   1.11111111,\n",
       "         1.21212121,   1.31313131,   1.41414141,   1.51515152,\n",
       "         1.61616162,   1.71717172,   1.81818182,   1.91919192,\n",
       "         2.02020202,   2.12121212,   2.22222222,   2.32323232,\n",
       "         2.42424242,   2.52525253,   2.62626263,   2.72727273,\n",
       "         2.82828283,   2.92929293,   3.03030303,   3.13131313,\n",
       "         3.23232323,   3.33333333,   3.43434343,   3.53535354,\n",
       "         3.63636364,   3.73737374,   3.83838384,   3.93939394,\n",
       "         4.04040404,   4.14141414,   4.24242424,   4.34343434,\n",
       "         4.44444444,   4.54545455,   4.64646465,   4.74747475,\n",
       "         4.84848485,   4.94949495,   5.05050505,   5.15151515,\n",
       "         5.25252525,   5.35353535,   5.45454545,   5.55555556,\n",
       "         5.65656566,   5.75757576,   5.85858586,   5.95959596,\n",
       "         6.06060606,   6.16161616,   6.26262626,   6.36363636,\n",
       "         6.46464646,   6.56565657,   6.66666667,   6.76767677,\n",
       "         6.86868687,   6.96969697,   7.07070707,   7.17171717,\n",
       "         7.27272727,   7.37373737,   7.47474747,   7.57575758,\n",
       "         7.67676768,   7.77777778,   7.87878788,   7.97979798,\n",
       "         8.08080808,   8.18181818,   8.28282828,   8.38383838,\n",
       "         8.48484848,   8.58585859,   8.68686869,   8.78787879,\n",
       "         8.88888889,   8.98989899,   9.09090909,   9.19191919,\n",
       "         9.29292929,   9.39393939,   9.49494949,   9.5959596 ,\n",
       "         9.6969697 ,   9.7979798 ,   9.8989899 ,  10.        ])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.linspace(0, 10, 100) # 把[0, 10]等分成100份\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.        ,  0.10083842,  0.20064886,  0.2984138 ,  0.39313661,\n",
       "        0.48385164,  0.56963411,  0.64960951,  0.72296256,  0.78894546,\n",
       "        0.84688556,  0.8961922 ,  0.93636273,  0.96698762,  0.98775469,\n",
       "        0.99845223,  0.99897117,  0.98930624,  0.96955595,  0.93992165,\n",
       "        0.90070545,  0.85230712,  0.79522006,  0.73002623,  0.65739025,\n",
       "        0.57805259,  0.49282204,  0.40256749,  0.30820902,  0.21070855,\n",
       "        0.11106004,  0.01027934, -0.09060615, -0.19056796, -0.28858706,\n",
       "       -0.38366419, -0.47483011, -0.56115544, -0.64176014, -0.7158225 ,\n",
       "       -0.7825875 , -0.84137452, -0.89158426, -0.93270486, -0.96431712,\n",
       "       -0.98609877, -0.99782778, -0.99938456, -0.99075324, -0.97202182,\n",
       "       -0.94338126, -0.90512352, -0.85763861, -0.80141062, -0.73701276,\n",
       "       -0.66510151, -0.58640998, -0.50174037, -0.41195583, -0.31797166,\n",
       "       -0.22074597, -0.12126992, -0.0205576 ,  0.0803643 ,  0.18046693,\n",
       "        0.27872982,  0.37415123,  0.46575841,  0.55261747,  0.63384295,\n",
       "        0.7086068 ,  0.77614685,  0.83577457,  0.8868821 ,  0.92894843,\n",
       "        0.96154471,  0.98433866,  0.99709789,  0.99969234,  0.99209556,\n",
       "        0.97438499,  0.94674118,  0.90944594,  0.86287948,  0.8075165 ,\n",
       "        0.74392141,  0.6727425 ,  0.59470541,  0.51060568,  0.42130064,\n",
       "        0.32770071,  0.23076008,  0.13146699,  0.03083368, -0.07011396,\n",
       "       -0.17034683, -0.26884313, -0.36459873, -0.45663749, -0.54402111])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = np.sin(x) # 对x中的每一个值求sin\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GwPjftNBz+yqYGB/FDRPHWR2KxyyelkBiTDjr9lUMvbMKWs/uO43dJjw4f/zQO/sJx+gI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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b60de10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y) # 以x为横坐标 \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cosy = np.cos(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100,)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cosy.shape # cosy是含有100个元素的向量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "siny = y.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MimBXbiXdw7ieRzcMA1DV1M6x4lpWT41xXBiph9QNUH8Nyk479rwuwGAQrEqP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\n5xr4L71Ko2BsAxxiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f172b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, siny)\n",
    "plt.plot(x, cosy)\n",
    "plt.show() # 默认会进行颜色区分地"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HMAyNkF9ayb7MIqYN7OQ4N5KVefNUUbWDBx17XhdgMgnu7R/FrtMFRgOfxvjs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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f3f36a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, siny)\n",
    "plt.plot(x, cosy, color = \"red\") # 也可以人为指定颜色\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aqk45nF3M0dwSrnXGvQ+q0vCttzrn3E7mmt7htPMy/7Qw3xoxDEMjrEzOoke4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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f27a6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, siny)\n",
    "plt.plot(x, cosy, color = \"red\", linestyle=\"--\") # 也可以人为指定颜色，还可以人为指定样式\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VNcZU+J6PAk9iTV/KEOCJY9xPYWFYJqVZWamcbu/k8PFTzmX1if/O3bGP4+Qp\nW8DKE+U+dy7s3evcFxVxQQxKyHihODYA+SIyTUQSgOuApwMbiEge8ATwSWPM7oDjySKS6n8NXAq4\nXzsrPeL3FXg2Ke3ZAy0toffVB/79JkPuID/nHFvLe8YMp2J2nVHuIYTi+pk3z9YOOXQo9L76IH9i\nKiKwuybC8oopgyZkxWGM6QC+AKwHdgJ/NMZsF5FbRMRvq/g2MB74f93CbjOB10VkK/AO8Kwx5vlQ\nx6QMjrKaRsYmxZOROir0zubNs6abXbtC76sPCjJTEImAu9k5c+DrX4c4L+JNese/4bHQC1PVtdfa\n6CrHDv3RCbFMGZcUWZs1lZDw5L/cGLMOWNft2D0Brz8DfKaH6/YDbgszKwOmzOcYD6q+Q2/MnWuf\nS0vfK/DkgKSEOCaPTWL30SGelF591SqP8eOditlV3Uj66Hgy0zxQ7o6VXCAFmVo/ZTihO8cVwNZ3\n2F3T5I2ZCiA/H/7rv2DRIm/664OCzFR2D+WKo74eLrgA7rvPuajd1Y0UeqXcwYbk3nqrN331QWFW\nKgfrTkVe/RRlUKjiUACorG+hqbWDfC9MIGDvZm+7DYq67wX1nsKsFA4ca6a1Y4gmJb9j3L/KcoQx\nhrKaRgqyUrzrdPduePRR7/rrhYJMWz9lf61GVg0HVHEoAGfu2D2JqPJz7Bi88op3/fVCQWYqHV2G\nA8eGaFIKk+KobmihsaXDG8e4n3nzoLISTpzwrs8e8P9fqZ9jeKCKQwE4s7O3YKKHiuO++2DVKmvK\ncUjhUId7lpZCSootGesQ/99XMNHDFcecOfZ5+3bv+uyBqeOTiY8V3UE+TFDFoQB2xZGVlkh6Urx3\nnYZpUpo+IYW4GBm6u9nSUrvacFy8yf/3ebL5z49/leT4O0qIi2H6hJSh9UUpnhG+sAolotl91Kax\n8JTASWn5cm/7DiAhLoZpE5Ipqx6ifQJ33glN7mXvrmliYuooxiYneNfp5Mk2gCE21rs+e6EgK5XN\nh9yaxJTwoIpDobPLsKemiU8um+Jtx1Om2BoVYciHVJCVSmmFW5NYr4QhIy54mGokEBHYtMnbPnuh\nMDOFZ7ZW0tTaMbjKhUrEoKYqhcPHT9Ha0UWBl45xsJlX58xxbgYB65s5fPwUp9rc18N4H3v2wIMP\nQoPbPQpdXcaN4ggj/oi9PerniHpUcSjv5ahyMSn95Cfw05963283CrNSMAb2Hg2zueq552y5WMf5\nno6cOEW8exd6AAAgAElEQVRLexeFXobi+nniCcjNhZoa7/sOoPCM4tDUI9GOKg7ljNN1ppfROn6W\nL3cepgrv3c2GPbKqtNTuFp840akYf54nz/bZBJKWBhUVzleGk8clMSouRiOrhgGqOBR21zQyedxo\nkl3Ynevr4Te/sVlYHTJlXBIJcTHsCfeKY/v2sEZU5btQ7oHpYRwSGyPkZ6boXo5hgCoOxdrOvdy/\nEUhTE9x4I6xf76Z/H3GxMczISAnvisMYO9n6w44dUlbdyKQxo0lN9DBc2k9mJowbF54ghompqjiG\nAao4RjhtHV3sr2323jHuJycH0tPDU2kuMyW8jteKCusUD4MpzjrGHaw2wK6W5s4NTxBDVio1Da3U\nn2p3LktxhyqOEc7BumY6uoz7SSkMiiM/M5XK+hYaWsI0KU2aBFVVsHatUzEdnT7l7jKi6h//ES68\n0F3/Pvz/Z0OezVgJCVUcIxwnu5G74w/JNW7Lu4Y9akcEsrJgzBinYg7WnaKts8vtd/TFL9pCVI7x\n/w1qropuPFEcInK5iJSJyF4Rua2H8yIiP/OdLxGRRQO9VnHL7upGYgRmZDhacYBdcZw4AdXV7mQw\nBJPSL38Jd9/tXExYlDtAezuccluCd9KY0SQnxGrqkSgnZMUhIrHA3cAVQBGwVkS659K+Asj3PW4G\nfhHEtYpDdtc0MWV8MonxDlNOfOITdo9AdrY7GUDu2NGMjo8Nn+K47z548knnYnbXNCLiKFzaT329\n3eV/zz39tw0BESE/M1XLyEY5Xqw4lgJ7jTH7jTFtwCPAmm5t1gD/ayxvAWNEJHuA1yoO2X3UodPV\nz9ixzvc5AMSEM9yzqwt27AiLY3xPTRN545IYneBQuaenhy+ySkNyox4vFMck4EjA+3LfsYG0Gci1\niiNa2js5eMyx09XPXXeFpUJeQbjuZg8dsmadcITi1jSS7ypcOpBwRVZlplLX3MaxplbnshQ3RI1z\nXERuFpGNIrKxtrZ2qIczLDje3EZBZipF2R4WBuqNJ56ABx5wLqYgM4XaxlZONLe5FeS/M3esOFo7\nrHJ3kmqkO/4ghq4up2LUQR79eKE4KoDJAe9zfccG0mYg1wJgjLnXGLPYGLM4IyMj5EErkDNmNM/f\nej5XzHPrewDCFlmVH65JqaYGRo1yrjgOHPOHS4dhxTFnDjQ3w+HDTsX4C29pzqroxQvFsQHIF5Fp\nIpIAXAc83a3N08D1vuiqZUC9MaZqgNcqw4E5c+xmufJyp2L8Ibm7Xace+cxn7K749HSnYs7kqAqH\nqeqCC+D222H0aKdiJqaOIi0xTlccUUzIyYmMMR0i8gVgPRALPGCM2S4it/jO3wOsA64E9gKngBv7\nujbUMSkRSGA+pMmT+24bAtnpiaSOigtPuGec+5oSu6sbiY0RZkxMdi6LwkL46ledixERny9KFUe0\n4sl/vjFmHVY5BB67J+C1AT4/0GuVYcicOda043gvhw33dBy109kJl10Gn/scfOhD7uRgTW5Txycx\nKs59hT7A7oSvq3MeLVaQlcqzJVUYYxDHCSIV74ka57gS5YwbZ+3nN97oXJT/bta48qfs3w8vvWT3\nPjgm7MWbbrwRrr/euZiCiSnUn27naKNGVkUjqjiU8BGGutZgFceJU+0ca3IUWRWmiKqW9k4OHT8V\nXsUxdy7s3GlXVQ7xJ9VUc1V0oopDCR+PPQarV0d/uKdfcRS5TXKw92gTxoQh1Uggc+ZAS4tdVTnk\nve9II6uiEVUcSvg4edKaeA4edCrmTAZWV4pj+3aYNg1S3O6t8I8/LHs4/PhXUY43Ak5IGcX45ATN\nWRWlqOJQwkeYKs1lpI5iTFK8u7vZ8ePh4ovd9B1AWU0j8bHClPFhiKjy419FhSX1SKqWkY1S3McT\nKoof/6S0fTtcc40zMc7DPcOQERfsBrkZGSnEx4bx/i4lxZoUFy50LqogM4XHNpVrZFUUoisOJXyk\npUFeXpiqAaayu9phZFUYKKtuPLMTPqx8+MMwfbpzMQVZqTS3dVJx8rRzWYq3qOJQwssll1hTj2MK\nslJpbO2gqr7F244ffRTy8537aZpaO6g4eZoCl6nUe+PwYfj1r219DocUas6qqEUVhxJe7rsPfvYz\n52L8E67nk1JJCRw4YCv/OWTPGcf4EKw4XnsNbroJ9uxxKsa/miqr1siqaEMVhzIscRaSu307zJwJ\niYne9tuN3UOpOMIUxJA+Op6stMQzSlKJHlRxKOFl/36YMQMef9ypmLHJCUxMHeX93WxpaViKN5VV\nN5EYH8PksUnOZZ1FYaHdrBmOyKosjayKRlRxKOElO9uaerZtcy6qMMvjyKrTp2HfvrAUb/KnGomJ\nGYJoo8RE68cJh+KYmMKeo010dkVvEMNIRBWHEl5Gj7amnjAojoLMVPYcbaTLq0mpudna/i+80Jv+\n+qAs3DmqujN3bthWHG0dXRyqa3YuS/EO3cehhJ9588JW27qlvYvDx08xdYIHm+gmTIBf/Sr0fvrh\neHMbtY2tZ6KOhoQ77oAk92ayWQE5q6ZnDEEEmTIodMWhhJ+5c2HvXmv6cYj/jt0zG/qJE87zbMF7\njvGCoXCM+5k6FSZOdC4mf2IqIrBLU49EFao4lPBz4YW2gl6zW/PEmcgqryaltWthxQpv+uqDMxFV\nQ7niOHUKvv99+NvfnIoZnRDLlHFJupcjyghJcYjIOBF5QUT2+J7H9tBmsoi8LCI7RGS7iHwp4Nx3\nRaRCRLb4HleGMh4lSli1Cn75S2v6cUjyqDjyxiWxy6tJqbTU+mccU1bdSFpiHJlpo5zL6pWEBKs4\n/vxn56IKMlN1xRFlhLriuA14yRiTD7zke9+dDuD/GmOKgGXA50UkMB/1T4wxxb6HVgIcKXR2WtOP\nYwoyUynzYlI6cQIqKqx/xjFl1Y0UZqUObf6muDiYPTssQQyzslI5eKyZlna3NUAU7whVcawBHvS9\nfhC4tnsDY0yVMWaz73UjsBOYFKJcJdpZsQI+/nHnYmZlpXLgWDOtHSFOSn5nvuM9HMYYymoah2bj\nX3fmzQtP9FtWKl0G9tXqDvJoIVTFkWmMqfK9rgYy+2osIlOBhcDbAYe/KCIlIvJAT6YuZZgSppDc\nwqxUOrsM+46G6E/xKw7HK47K+hYaWzoozEpzKmdAzJsHlZVw/LhTMf7IKk9WhkpY6FdxiMiLIlLa\nw2NNYDtj05D2GjAvIinA48CtxpgG3+FfANOBYqAK+FEf198sIhtFZGNtbW3/f5kS2cyfD+Xlzs1V\n/jv3spqGflr2w7nnwve+B7m5Hoyqd8qq7ThnRcqKIzHReTXAKeOTSYiN0R3kUUS/+ziMMat7Oyci\nNSKSbYypEpFs4Ggv7eKxSuMhY8wTAX3XBLT5FdCrJ84Ycy9wL8DixYt1m2m0479zLy2FD3zAmZhp\nE5KJj5XQna+LFtmHY/zjHNLNf35Wr4bGRuvvcEh8bAwzJqboiiOKCNVU9TRwg+/1DcBT3RuI9fDd\nD+w0xvy427nsgLcfBNzvClMig/nz7XNJiVMx8bExzMhICS0k1xibMbYhxFXLACirbiQnPZH00fHO\nZfVLXJxzpeFnVpZHQQxKWAh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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f695438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, siny)\n",
    "plt.plot(x, cosy, color = \"red\", linestyle=\"--\") # 也可以人为指定颜色，还可以人为指定样式\n",
    "plt.xlim(-5, 15) # 可以人为指定x轴\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xVj4pLKV3UidmnzmA687MondSp2iHJyJtRU0NHDoE3br5RutzzoFZs3xvpjFj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\nP85hdfRRvMVNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f164940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, siny)\n",
    "plt.plot(x, cosy, color = \"red\", linestyle=\"--\") # 也可以人为指定颜色，还可以人为指定样式\n",
    "plt.xlim(0, 1.5) # 可以人为指定y轴\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0bu/RlEhv16s6U3Pm2A10fJyI8FC/WHZlHOXzJdudDserPJIARKS/iGwUkSQR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\n/wPbJTpLbNq/zgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10eef8eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, siny)\n",
    "plt.plot(x, cosy, color = \"red\", linestyle=\"--\") # 也可以人为指定颜色，还可以人为指定样式\n",
    "plt.axis([-1, 11, -2, 2]) # 可以人为指定x、y轴范围，前两个是x轴范围，后两个是y轴范围\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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a6mpVXVinHMkt5Vh+Gdc74toHVXn7jjscc24Hc23vcHw93X4MWGiLGAbFAaxM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\nH1U9g7Tg00+hRw+VH+YENAkbNmhHdOumjIpWnD6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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ee4b2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, siny)\n",
    "plt.plot(x, cosy, color = \"red\", linestyle=\"--\") # 也可以人为指定颜色，还可以人为指定样式\n",
    "plt.xlabel(\"x axis\") # 也可以给x、y轴添加说明\n",
    "plt.ylabel(\"y axis\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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c6mpVXVinHMor40hBOVOdce2Dqrx9yy3OObaTubZnBP7eHj8FLLRGDIPiBFam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\nSkrilltuYcqUKWzduhVvb++f1kVERJCTk/OTAXI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cAVQH9vkcj+dUdSlw+LzJ9wH/cIf/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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f36eef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, siny, label = \"sin(x)\") # 可以给曲线加上含义\n",
    "plt.plot(x, cosy, color = \"red\", linestyle=\"--\", label = \"cos(x)\")\n",
    "plt.xlabel(\"x axis\") \n",
    "plt.ylabel(\"y axis\")\n",
    "plt.legend() # 声明这句才能给曲线加上label\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VAQFw++06fDg723vi3ER8eAhX9ohi7vb0FjlCtwyKF8kuKOHrAzlMH9oB/7ru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\nxf8DYBq89a07OyAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f3f9128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, siny, label = \"sin(x)\")\n",
    "plt.plot(x, cosy, color = \"red\", linestyle=\"--\", label = \"cos(x)\")\n",
    "plt.xlabel(\"x axis\") \n",
    "plt.ylabel(\"y axis\")\n",
    "plt.legend()\n",
    "plt.title(\"Hello My Name is LiangShanGuang\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 绘制散点图(Scatter Plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b6495f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x, siny)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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DCKllsqNRtA+DDr7y0p5BdZSv8mc6gJDKJzsaBXGEykt7RtVRPsqf6QBCKp/saBTtwVgm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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f2519b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x, siny)\n",
    "plt.scatter(x, cosy)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4TSMt365A6fUAFn1bQCh+iDsfIWWlPh3K+0ehASCnkzUoDh8uJx3UR+E3jaSC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\niKfQABBCiKfQABBCiKf8f7ZeU5p0STJ2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f40b7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x, siny)\n",
    "plt.scatter(x, cosy, color=\"red\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5miWwBxJr8GlSWxlPjEGm7E1tdNHUwf17dHxtPYlZMjHMKmpaztcsNfYtdQdR+jjnvK2M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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ecb1128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.normal(0, 1, 100)  # 生成均值为0方差为1(也称正太分布)的100个数\n",
    "y = np.random.normal(0, 1, 100)  # 生成均值为0方差为1(也称正太分布)的100个数\n",
    "\n",
    "plt.scatter(x, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10edbcda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.normal(0, 1, 100)  # 生成均值为0方差为1(也称正太分布)的100个数\n",
    "y = np.random.normal(0, 1, 100)  # 生成均值为0方差为1(也称正太分布)的100个数\n",
    "\n",
    "plt.scatter(x, y, alpha=0.4) # 可以人为指定透明度\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
